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Senior Full Stack Machine Learning Engineer Jobs in Yonkers, NY

Datalinx AI

Senior Full-Stack Engineer

Manhattan, NY · On-site

Required : • 10+ years of combined experience in full-stack development with specialization in machine learning, data engineering, and knowledge of agentic application design. • Strong ...

NxT Level

Full Stack Engineer

Manhattan, NY · On-site

... machine learning. The company is working on systems that help train and evaluate AI models in ... The work is not meant for a highly specialized senior engineer. It is designed for a sharp full ...

CVS Health

Senior Machine Learning Engineer

New York, NY · On-site

$111K - $222K/yr

We're looking for a Senior Machine Learning Engineer to help build and scale the next generation of ... with full-stack framework (e.g, Node.js, React) Experience with distributed modeling Education ...

PROPRIUS

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

Sr. Machine Learning Engineer Location: New York, NY Sponsorship: Yes Relocation: Yes Industry: Machine Learning A leading provider of AI is looking for a Sr. ML Engineer. Our client is an industry ...

NxT Level

Full Stack Engineer

Manhattan, NY · On-site

... machine learning. The company is working on systems that help train and evaluate AI models in ... The work is not meant for a highly specialized senior engineer. It is designed for a sharp full ...

NxT Level

Full Stack Engineer

Manhattan, NY · On-site

... machine learning. The company is working on systems that help train and evaluate AI models in ... The work is not meant for a highly specialized senior engineer. It is designed for a sharp full ...

Forhyre

Machine Learning Engineer

New York, NY · On-site

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

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Senior Full Stack Machine Learning Engineer information

See Yonkers, NY salary details

$46.1K

$139.7K

$197.5K

How much do senior full stack machine learning engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for senior full stack machine learning engineer in Yonkers, NY is $139,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,100.00 and $163,800.00 per year, depending on experience, location, and employer.

What is the difference between Senior Full Stack Machine Learning Engineer vs Data Scientist?

AspectSenior Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, integrates backend and frontendAnalyzes data, builds models, visualizes insights
Industry UsageTech, finance, healthcare, where deploying ML models is essentialResearch, analytics, consulting across various sectors

While both roles involve working with data and machine learning, the Senior Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, including frontend and backend integration. In contrast, Data Scientists primarily analyze data and develop models to generate insights. The engineer's role is more application-oriented, whereas the Data Scientist's role is more research and analysis-focused.

Senior Full Stack Machine Learning Engineer jobs near you

Senior Full Stack Software Engineer

twenty80.io

New York, NY • On-site, Remote

$160K - $210K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 22 days ago

Job description

About the Role

A growing technology startup is hiring a Senior Full Stack Software Engineer to help build and scale its core product. This engineer will work across the frontend and backend, contributing directly to customer-facing features as well as internal systems. The role offers a high level of ownership and influence over technical decisions in a fast-paced environment.

This position is well-suited for an engineer who enjoys working closely with product and design, shipping quickly, and improving systems over time.

What You’ll Do

  • Build and maintain full stack web applications used by customers and internal teams

  • Develop scalable backend services and APIs to support product features

  • Implement modern, responsive frontend interfaces with a focus on usability and performance

  • Collaborate with product managers and designers to define requirements and deliver solutions

  • Contribute to architectural decisions and technical roadmap planning

  • Write high-quality, well-tested code and participate in code reviews

  • Help improve engineering processes, tooling, and system reliability

  • Mentor junior engineers and contribute to a strong engineering culture

Tech Environment

The engineering team works with a modern startup stack, including:

  • Frontend: React, TypeScript, Next.js

  • Backend: Node.js (Express or NestJS) and/or Python (Django or FastAPI)

  • Databases: PostgreSQL, Redis

  • Cloud & Infrastructure: AWS or GCP, Docker, CI/CD

  • APIs: REST and GraphQL

  • Tools: Git, GitHub, modern monitoring and logging tools

What We’re Looking For

  • 5+ years of professional software engineering experience

  • Strong full stack experience with modern JavaScript/TypeScript

  • Proven experience building and maintaining backend services and APIs

  • Solid understanding of relational databases and data modeling

  • Experience deploying and operating applications in cloud environments

  • Ability to work independently and take ownership of projects

  • Prior experience in a startup or fast-moving product team is a plus

Compensation & Benefits

  • Base Salary: $160,000 – $210,000 (San Francisco senior-level range)

  • Equity: Competitive equity package

  • Benefits: Medical, dental, vision coverage; flexible PTO; standard startup benefits

  • Work Model: Hybrid or remote-friendly depending on location and team needs

Equal Opportunity

This role is with an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, gender, sexual orientation, gender identity, age, disability, or veteran status.